S.M. Sadjadi, S. Chen, et al.
TAPIA 2009
The Bible was introduced as a dataset for evaluating multilingual optical character recognition (OCR) techniques for language technology research. Noise-free and degraded document images were generated for complete Bibles in seven languages, and 15 OCR systems were evaluated. Results show that a synthetically degraded image of a page from a Spanish Bible at 300dpi resolution. It was observed that Arabic OCR systems in general perform more poorly than the English and Spanish, the Arabic text has connected script, and the shape of the symbols change depending on the preceding and following symbols.
S.M. Sadjadi, S. Chen, et al.
TAPIA 2009
Frank R. Libsch, S.C. Lien
IBM J. Res. Dev
Rajiv Ramaswami, Kumar N. Sivarajan
IEEE/ACM Transactions on Networking
Michael D. Moffitt
ICCAD 2009